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Pandas Series Methods
Pandas Series are the one-dimensional array used for handling diverse data types with ease. It utilizes functions like value_counts() for data aggregation, map() for element wise operations, and unique() for identifying distinct values.
Pandas value_counts()
count number of occurrences of each unique value
Pandas map()
used to substitute values in a Series
Pandas to_frame()
used to convert a Pandas Series to a DataFrame
Pandas unique()
used to obtain unique elements of a Series
Pandas between()
used to filter values within a specified range
Pandas Series filter()
used to subset data based on a specific condition
Pandas dt.floor()
used to round datetime objects down
Pandas str.contains()
tests if a pattern is contained within a string
Pandas str.split()
used to split the elements of a Series
Pandas tolist()
used to convert a Pandas Series into a list
Pandas str.strip()
used to remove leading and trailing whitespace
Pandas str.replace()
used to replace a substring within each string
Pandas str.find()
used to search for a substring
Pandas Series get()
used to retrieve a single item from a Series